About Intusomics Analytics
Founded by Daniel Arenas, Intusomics Analytics was built to address a recurring issue in omics projects: data generation at scale is often paired with analysis that prioritizes speed and standardization over study-specific biology. One-size-fits-all settings can miss subtle signals, especially when a project needs deeper handling (for example, batch-effect correction, clinical-study-aware endpoints, or updated methods tailored to the design).
Intusomics Analytics takes a different approach. We design the analysis strategy around your experimental setup, sample type, and biological question—adapting parameters and tools when your dataset requires it, and going beyond “processing” to deliver results you can trust and act on.
We support academic labs, startups, and biotech teams who need more than a generic pipeline. Clients work with us for high-touch collaboration and clear interpretation that enables decisions—strengthening a manuscript, prioritizing biomarkers, or de-risking an R&D program.
In addition to rigorous computation, we provide biological interpretation, recommended next experimental steps, and publication-ready figures—so your sequencing investment translates into actionable insight, not just outputs.


